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A Glycosidic-Bond-Based Mass-Spectrometry-Cleavable Cross-linker Enables In Vivo Cross-linking for Protein Complex analysis

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Angewandte Chemie 2023年第24期135卷

作者： Dr. Jing Chen Qun Zhao Dr. Hang Gao Dr. Lili Zhao Huiying Chu Prof. Yichu Shan Prof. Zhen Liang Prof. Yukui Zhang Prof. Lihua Zhang CAS Key Labratory of Separation Science for Analytical Chemistry Dalian Institute of Chemical Physics Chinese Academy of Sciences 457 Zhongshan Road Dalian 116023 China School of Chemistry and Material Science University of Science and Technology of China 96 Jinzhai Road Hefei 230026 China University of Chinese Academy of Sciences Beijing 100039 China Laboratory of Molecular Modeling and Design State Key Laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical Physics Chinese Academy of Sciences 457 Zhongshan Road Dalian 116023 China

Chemical cross-linking mass spectrometry (CXMS) has emerged as a powerful technology to analyze protein complexes. However, the progress of in vivo CXMS studies has been limited by cross-linking biocompatibility and data analysis. Herein, a glycosidic bond-based MS-cleavable cross-linker of trehalose disuccinimidyl ester (TDS) was designed and synthesized, which was fragmented in MS under CID/HCD to simplify the cross-linked peptides into conventional single peptides via selective cleavage between glycosidic and peptide bonds under individual MS collision energy. Consequently, the cross-linking identification accuracy and throughput were significantly enhanced, and the popular MS mode of stepped HCD was allowed. In addition, TDS showed proper cell-penetrating properties while being highly water-soluble, making it non-DMSO dependent during solubilization. Collectively, TDS provides a promising toolkit for CXMS characterization of living systems with high biocompatibility and accuracy.

关键词： Cleavage Reactions Glycosidics Mass Spectrometry Protein Structures Protein-Protein Interactions

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Generic security analysis framework for quantum secure direct communication

arXiv

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arXiv 2020年

作者： Ye, Zhangdong Pan, Dong Sun, Zhen Du, Chunguang Yin, Liuguo Long, Guilu State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University Beijing100084 China Frontier Science Center for Quantum Information Beijing100084 China School of Information and Technology Tsinghua University Beijing100084 China Beijing National Research Center for Information Science and Technology Beijing100084 China Beijing Academy of Quantum Information Sciences Beijing100193 China

Quantum secure direct communication provides a direct means of conveying secret information via quantum states among legitimate users. The past two decades have witnessed its great strides both theoretically and experimentally. However, the security analysis of it still stays in its infant. Some practical problems in this field to be solved urgently, such as detector efficiency mismatch, side-channel effect and source imperfection, are propelling the birth of a more impeccable solution. In this paper, we establish a new framework of the security analysis driven by numerics where all the practical problems may be taken into account naturally. We apply this framework to several variations of the DL04 protocol considering real-world experimental conditions. Also, we propose two optimizing methods to process the numerical part of the framework so as to meet different requirements in practice. With these properties considered, we predict the robust framework would open up a broad avenue of the development in the field. Copyright © 2020, The Authors. All rights reserved.

关键词： Security systems

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Analyses of geographical observations in the Heihe River Basin: Perspectives from complexity theory

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Journal of Geographical sciences 2019年第9期29卷 1441-1461页

作者： Gao Jianbo FANG Peng YUAN Lihua State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Institute of Complexity Science and Big Data Technology Guangxi UniversityNanning 530004China Wuhan National Laboratory for Optoelectronics Key Laboratory of In formation Storage SystemEngineering Research Center of Data Storage Systems and TechnologyMinistry of Education of ChinaSchool of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China Center for GeoData and Analysis Faculty of Geographical ScieneeBeijing Normal UniversityBeijing 100875China

Since 2005,dozens of geographical observational stations have been established in the Heihe River Basin(HRB),and by now a large amount of meteorological,hydrological,and ecological observations as well as data pertaining to water resources,soil and vegetation have been *** adequately analyze these available data and data to be further collected in future,we present a perspective from complexity *** concrete materials covered include a presentation of adaptive multiscale filter,which can readily determine arbitrary trends,maximally reduce noise,and reliably perform fractal and multifractal analysis,and a presentation of scale-dependent Lyapunov exponent(SDLE),which can reliably distinguish deterministic chaos from random processes,determine the error doubling time for prediction,and obtain the defining parameters of the process *** adaptive filter is illustrated by applying it to obtain the global warming trend and the Atlantic multidecadal oscillation from sea surface temperature data,and by applying it to some variables collected at the HRB to determine diurnal cycle and fractal *** SDLE is illustrated to determine intermittent chaos from river flow data.

关键词： Heihe River basin geographical observation complexity theory adaptive multiscale filter fractal analysis scale-dependent Lyapunov exponent

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Semi-autonomous greenhouse environment control by combining expert knowledge and machine learning

Semi-autonomous greenhouse environment control by combining ...

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Chinese Automation Congress (CAC)

作者： Mengzhen Kang Yuchen Weng Haitong Pang Liangde Li Xing-Rong Fan Jing Hua Fangle Chang Xiujuan Wang Longhua Ma The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Ningbo Institute of Technology Zhejiang University Ningbo China The School of Computer Science and Information Engineering Chongqing Technology and Business University Chongqing China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao AgriTech Co. Ltd Qingdao Qingdao China The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing Engineering Research Center of Intelligent Systems and Technology Beijing China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

The concept of "autonomous greenhouse" hints the automatic setting of control target, and giving orders on facilities to reach these targets (set point). Information and communication technologies are widely used, but how to integrate common sense or knowledge in decision-making is still challenging. Semi-autonomous greenhouse control is to set rules with joint advantages of experienced grower and powerful machinery, with the support of knowledge graph and semantic analysis. The contribution of each side is dependent on the intelligence level of computers, the availability of data, etc. In this work, the hybrid system between human and machinery is shown with the temperature control in greenhouse. The target is set mainly by expert knowledge, while the temperature controlled by vent opening is decided by an algorithm. Result shows that the target is better reached compared to that of the experience-based approach. This example shows the feasibility of human-machine hybrid intelligence system for greenhouse environment control. Although this approach is tested for temperature control, it can be extended to control multiple factors simultaneously (temperature, light intensity, humidity, etc.) by driving multiple facilities (heating, lightening, venting, etc.).

关键词： Green products Temperature measurement Monitoring Temperature sensors Vents Agriculture Temperature distribution

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Mechanical analysis and Performance Optimization for the Lunar Rover’s Vane-Telescopic Walking Wheel

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Engineering 2020年第8期6卷 936-943页

作者： Lu Yang Bowen Cai Ronghui Zhang Kening Li Zixian Zhang Jiehao Lei Baichao Chen Rongben Wang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of TechnologyTianjin 300384China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of TechnologyTianjin 300384China Guangdong Key Laboratory of Intelligent Transportation System School of Intelligent Systems EngineeringSun Yat-sen UniversityGuangzhou 510275China College of Transportation Jilin UniversityChangchun 130025China Department of Mechanical Science and Engineering Tokyo Institute of TechnologyTokyo 152-8550Japan Armour College of Engineering Illinois Institute of TechnologyChicagoIL 60616USA China Academy of Space Technology Beijing 100029China

It is well-known that optimizing the wheel system of lunar rovers is ***,this is a difficult task due to the complex terrain of the moon and limited resources onboard lunar *** this study,an experimental prototype was set up to analyze the existing mechanical design of a lunar rover and improve its ***,a new vane-telescopic walking wheel was proposed for the lunar rover with a positive and negative quadrangle suspension,considering the complex terrain of the ***,the performance was optimized under the limitations of preserving the slope passage and minimizing power *** was achieved via analysis of the wheel force during ***,the effectiveness of the proposed method was demonstrated by several simulation *** newly designed wheel can protrude on demand and reduce energy consumption;it can be used as a reference for lunar rover development engineering in China.

关键词： Intelligent vehicle Vane-telescopic walking wheel Performance optimization Vane spring Lunar rover

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Suppressing Exciton–Vibration Coupling via Intramolecular Noncovalent Interactions for Low-Energy-Loss Organic Solar Cells

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Angewandte Chemie 2024年第7期137卷

作者： Xiaobin Gu Yanan Wei Rui Zeng Jikai Lv Yuqi Hou Na Yu Senke Tan Zaiyu Wang Congqi Li Prof. Zheng Tang Prof. Qian Peng Prof. Feng Liu Prof. Yunhao Cai Prof. Xin Zhang Prof. Hui Huang College of Materials Science and Opto-Electronic Technology Center of Materials Science and Optoelectronics Engineering CAS Center for Excellence in Topological Quantum Computation and CAS Key Laboratory of Vacuum Physics University of Chinese Academy of Sciences Beijing 101408 China School of Chemistry and Chemical Engineering Frontiers Science Center for Transformative Molecules In situ Center for Physical Science and Center of Hydrogen Science Shanghai Jiao Tong University Shanghai 200240 China Center for Advanced Low-Dimension Materials State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University Shanghai 201620 China Department of Chemistry and the Hong Kong Branch of the Chinese National Engineering Research Center for Tissue Restoration and Reconstruction The Hong Kong University of Science and Technology Hong Kong 999077 China School of Chemical Sciences University of Chinese Academy of Sciences Beijing 101408 China

Minimizing energy loss is crucial for breaking through the efficiency bottleneck of organic solar cells (OSCs). The main mechanism of energy loss can be attributed to non-radiative recombination energy loss (Δ E nr ) that occurs due to exciton–vibration coupling. To tackle this challenge, tuning intramolecular noncovalent interactions is strategically utilized to tailor novel fused ring electron acceptors (FREAs). Upon comprehensive analysis of both theoretical and experimental results, this approach can effectively enhance molecular rigidity, suppress structural relaxation, reduce exciton reorganization energy, and weakens exciton–vibration coupling strength. Consequently, the binary OSC device based on Y-SeSe, which features dual strong intramolecular Se ⋅ ⋅ ⋅ O noncovalent interactions, achieves an outstanding power conversion efficiency (PCE) of 19.49 %, accompanied by an extremely small Δ E nr of 0.184 eV, much lower than those of Y-SS and Y-SSe based devices with weaker intramolecular noncovalent interactions. These achievements not only set an efficiency record for selenium-containing OSCs, but also mark the lowest reported Δ E nr value among high-performance binary devices. Furthermore, the ternary blend device showcases a remarkable PCE of 20.51 %, one of the highest PCEs for single-junction OSCs. This work demonstrates the effectiveness of intramolecular noncovalent interactions in suppressing exciton–vibration coupling, thereby achieving low-energy-loss and high-efficiency OSCs.

关键词： organic solar cells non-radiative recombination energy loss intramolecular noncovalent interactions molecular rigidity exciton–vibration coupling

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Enhanced blockchain based key management scheme against key exposure attack 19

Enhanced blockchain based key management scheme against key ...

引用

2019 International Conference on Artificial Intelligence, Information Processing and Cloud Computing, AIIPCC 2019

作者： Ma, Mingxin Yang, Xiaotong Shi, Guozhen Li, Fenghua School of Cyber Engineering Xidian University Xi’an China School of Information Security Beijing Electronic Science and Technology Institute Beijing China State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781450376334

The data collected by IoT devices is of great value, which makes people urgently need a secure device key management strategy to protect their data. Existing works introduce the blockchain technology to transfer the responsibility of key management from the trusted center in the traditional key management strategy to the devices, thus eliminating the trust crisis caused by excessive dependence on third parties. However, the lightweight implementation of IoT devices limits the ability to resist side channel attacks, causing the private key to be exposed and subject to masquerading attacks. Accordingly, we strengthen the original blockchain based key management scheme to defend against key exposure attack. On the one hand, we introduce two hash functions to bind transactions in the blockchain to legitimate users. On the other hand, we design a secure key exchange protocol for identifying and exchanging access keys between legitimate users. Security analysis and performance show that the proposed scheme improves the robustness of the network with small storage and communication overhead increments. © 2019 Association for Computing Machinery.

关键词： Internet of things

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Synthesizing Nested Ranking Functions for Loop Programs via SVM 21st

Synthesizing Nested Ranking Functions for Loop Programs via ...

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21st International Conference on Formal Engineering Methods, ICFEM 2019

作者： Li, Yi Sun, Xuechao Li, Yong Turrini, Andrea Zhang, Lijun Chongqing Key Laboratory of Automated Reasoning and Cognition Automated Reasoning and Cognition Center Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China University of the Chinese Academy of Sciences Beijing China Institute of Intelligent Software Guangzhou Guangzhou China

ISBN: (纸本)9783030324087

Termination of programs is probably the most famous undecidable problem in computer science. Despite this undecidability result, a lot of effort has been spent on improving algorithms that prove termination of loops, which is one of the building blocks of software reliability analysis. These algorithms are usually focused on finding an appropriate ranking function for the loop, which proves its termination. In this paper, we consider nested ranking functions for loop programs and show that the existence problem of a nested ranking function is equivalent to the existence problem of a hyperplane separating classes of data. This allows us to leverage Support-Vector Machines (SVM) techniques for the synthesis of nested ranking functions. SVM are supervised learning algorithms that are used to classify data;they work by finding a hyperplane separating data points parted into two classes. We show how to carefully define the data points so that the separating hyperplane gives rise to a nested ranking function for the loop. Experimental results confirm the effectiveness of our SVM-based synthesis of nested ranking functions. © 2019, Springer Nature Switzerland AG.

关键词： Software reliability

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Inferential text generation with multiple knowledge sources and meta-learning

arXiv

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arXiv 2020年

作者： Guo, Daya Asai, Akari Tang, Duyu Duan, Nan Gong, Ming Shou, Linjun Jiang, Daxin Yin, Jian Zhou, Ming School of Data and Computer Science Sun Yat-sen University Guangdong Key Laboratory of Big Data Analysis and Processing Guangzhou China University of Washington Microsoft Research Asia Beijing China Microsoft Search Technology Center Asia Beijing China

We study the problem of generating inferential texts of events for a variety of commonsense like if-else relations. Existing approaches typically use limited evidence from training examples and learn for each relation individually. In this work, we use multiple knowledge sources as fuels for the model. Existing commonsense knowledge bases like ConceptNet are dominated by taxonomic knowledge (e.g., isA and relatedTo relations), having a limited number of inferential knowledge. We use not only structured commonsense knowledge bases, but also natural language snippets from search-engine results. These sources are incorporated into a generative base model via key-value memory network. In addition, we introduce a meta-learning based multi-task learning algorithm. For each targeted commonsense relation, we regard the learning of examples from other relations as the meta-training process, and the evaluation on examples from the targeted relation as the meta-test process. We conduct experiments on Event2Mind and ATOMIC datasets. Results show that both the integration of multiple knowledge sources and the use of the meta-learning algorithm improve the performance. Copyright © 2020, The Authors. All rights reserved.

关键词： Learning algorithms

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Assimilation of Dual-Pol Radar KDPObservations With the GSI Ensemble Kalman Filter for the analysis and Prediction of a Squall Line

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Journal of Geophysical Research: Atmospheres 2025年第11期130卷

作者： Feifei Shen Aiqing Shu Jinzhong Min Zheng Wu Yi Wang Dongmei Xu Jiajun Chen Shen Wan Key Laboratory of Meteorological Disaster Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD) Nanjing University of Information Science & Technology Nanjing China East China Phased Array Weather Radar Application Joint Laboratory Shanghai China State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Beijing China China Meteorological Administration Tornado Key Laboratory Guangzhou China Key Laboratory of Core Tech on Numerical Model-AI Integrated Forecast for Hazardous Precipitation Chongqing Institute of Meteorological Sciences Chongqing China Jiangsu Meteorological Observatory Nanjing China

The direct assimilation of dual-polarization radar observations is realized within the gridpoint statistical interpolation data assimilation (DA) system using the ensemble Kalman filter method. This study involves three experiments designed to evaluate the impacts of assimilating the polarimetric variable specific differential phase (K DP ) for a squall line case in Jiangsu Province, including a control experiment without DA and two experiments with radar DA. In the first DA experiment, only conventional radar variables reflectivity and radial velocity are assimilated at 6-min intervals, while the other DA experiment additionally assimilates K DP . Strong correlations between model variables and K DP are established based on the prior ensemble, which contributes to the positive DA effects. The assimilation of K DP leads to significant improvements in both the horizontal and vertical structures of the analyses, with stronger lower-layer convergence and updrafts in front of the squall line. Additionally, the rainwater mixing ratio intensifies and expands in the northern part of the squall line with K DP assimilation. Consequently, the precipitable water and convective available potential energy are increased from 70 to 80 mm and from 1,559 to 2,116 J/kg, respectively, supported by higher pseudo-equivalent potential temperatures at 925 hPa. Furthermore, the analyzed and predicted composite reflectivity is enhanced with K DP assimilation, aligning well with observations. In the 1-hr rainfall forecast, both the location and intensity of the short-term precipitation are improved by assimilating K DP , which is further confirmed by objective quantitative assessments. The capability of assimilating dual-polarization radar observation K DP is realized in the GSI data assimilation system with the ensemble Kalman filter (EnKF) method The added value of assimilating K DP observations is confirmed in both the dynamic and thermodynamic fields in a squall line case The forecast sk

关键词： dual-pol radar KDP observations data assimilation EnKF squall line

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